Reinforcement Learning

Stochastic Recruitment: A Limited-Feedback Control Policy for Large Ensemble Systems RSS 2008 Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning NeurIPS 2008 Structure Learning in Human Sequential Decision-Making NeurIPS 2008 Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation NeurIPS 2008 Using Bayesian Dynamical Systems for Motion Template Libraries NeurIPS 2008 Value Function Based Reinforcement Learning in Changing Markovian Environments JMLR 2008 Active Policy Learning for Robot Planning and Exploration under Uncertainty RSS 2007 A Discrete Geometric Optimal Control Framework for Systems with Symmetries RSS 2007 Bayes-Adaptive POMDPs NeurIPS 2007 Bayesian Policy Learning with Trans-Dimensional MCMC NeurIPS 2007 BS-SLAM: Shaping the World RSS 2007 Competition Adds Complexity NeurIPS 2007 Composition of Vector Fields for Multi-Robot Manipulation via Caging RSS 2007 Design of a Bio-inspired Dynamical Vertical Climbing Robot RSS 2007 Discrete Search Leading Continuous Exploration for Kinodynamic Motion Planning RSS 2007 Exponential Family Predictive Representations of State NeurIPS 2007 Fitted Q-iteration in continuous action-space MDPs NeurIPS 2007 Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion NeurIPS 2007 Hierarchical Average Reward Reinforcement Learning JMLR 2007 Incremental Natural Actor-Critic Algorithms NeurIPS 2007 Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NeurIPS 2007 Online Linear Regression and Its Application to Model-Based Reinforcement Learning NeurIPS 2007 Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs NeurIPS 2007 Planning and Control of Meso-scale Manipulation Tasks with Uncertainties RSS 2007 Proto-value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes JMLR 2007